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Urban streets, especially curbside spaces, are increasingly complex and often contested. The Coronavirus pandemic created a new demand for street space to enable physical distancing. The urgency of the pandemic and the fear of covid exposure suspended traditional community engagement opportunities, opposition from residents and business owners, and considerations over the privatization of public street space. This exploratory paper uses the case studies of Toronto and Chicago to trace the past and present regulations and programs affecting curbside parking spaces. Through these cases, this paper addresses larger questions that relate the historical conceptions around curbside parking use with those put forward in response to the pandemic. Given the popularity of pandemic-related curbside space programs and their potential to become long-term interventions, this paper also raises several questions around privatization, access and social equity that must be addressed in future iterations of programs affecting curbside space. • Cities are rapidly reimagining curbside space as a result of the pandemic. • Cities are reducing barriers to accessing curbside parking space by eateries. • Shifts in curb space use raise questions around privatization, access and social equity. • Long-term curb space interventions need to be more equitable and public. [ABSTRACT FROM AUTHOR]

The COVID-19 pandemic has severely impacted human activities in a way never documented in modern history. The prevention policies and measures have abruptly changed well-established urban mobility patterns. In this context, we exploit different sources of urban mobility data to gain insights into the effects of restrictive policies on the daily mobility and exhaust emissions in pandemic and post-pandemic periods. Manhattan, the most densely populated borough in New York City, is chosen as the study area. We collect data generated by taxis, sharing bikes, and road detectors between 2019 and 2021, and estimate exhaust emissions using the COPERT (Computer Programme to calculate Emissions from Road Transport) model. A comparative analysis is conducted to identify important changes in urban mobility and emission patterns, with a particular focus on the lockdown period in 2020 and its counterparts in 2019 and 2021. The results of the paper fuel the discussion on urban resilience and policy-making in a post pandemic world. • A comparative analysis is conducted to identify important changes in urban mobility and emission patterns due to the COVID-19. • Remarkable reductions in taxi trips and exhaust emissions are witnessed during the lockdown period. • The need for social distancing has encouraged the utilization of bike-sharing services. • Evidence on the resilience of bike sharing systems during this pandemic has been found. [ABSTRACT FROM AUTHOR]

In this paper we investigate the public transport trip frequency variations, as well as the reasons that led to the shift away from public transport means, due to the COVID-19 pandemic. We studied relevant data from the Moovit platform, and we compared operational and trip frequency characteristics of public transport systems before and after the outbreak of the pandemic in 87 cities worldwide. On average, waiting times at public transport stops/stations increased while trip distances decreased, apparently due to the mobility restriction and social distancing measures implemented in 2020. Most of the Moovit users who said that they abandoned public transport in 2020 were found in Italy and Greece. We developed linear regression analysis models to investigate (among the 35 variables examined in the study) the relationship between public transport abandonment rates and socioeconomic factors, quality of service characteristics, and indicators of pandemic's spread. Empirical findings show that public transport dropout rates are positively correlated with the COVID-19 death toll figures, the cleanliness of public transport vehicles and facilities, as well as with the income inequality (GINI) index of the population, and thus reconfirm previous research findings. In addition, the waiting time at stops/stations and the number of transfers required for commute trips appeared to be the most critical public transport trip segments, which significantly determine the discontinuation of public transport use under pandemic circumstances. Our research findings indicate specific aspects of public transport services, which require tailored adjustments in order to recover ridership in the post-pandemic period. • COVID-19 effect on public transport abandonment is studied in 87 cities worldwide. • Regression analyses assessed abandonment on socioeconomic, COVID-19 and Moovit data. • High abandonment rates were found in Thessaloniki, San Francisco, and Palermo. • COVID-19 deaths, vehicle hygiene conditions, income inequality affected abandonment. • Long waiting times at stops and higher transfer rates account for higher abandonment rates. [ABSTRACT FROM AUTHOR]